ABSTRACT

Drylands are significantly affected by climate change through changing spatial- temporal distribution of the climatic variables thus making these areas prone to the climate risk. Climatic risk adaptation is essential through various resource management activities, appropriate policymaking, capacitybuilding institutions, and individuals. This can be achieved by prioritizing areas for climatic risk adaptation and mitigation. The comprehensive study and inclusion of various climatic variables in watershed management increase the success of conservation practices and management. Therefore, with climate risk, there are new challenges to ensure that watershed management also leads to climate risk adaptation and mitigation. The current study offers the Fuzzy Analytical Hierarchical Process as an effective multicriteria decision support model (MCDSM) for identifying and prioritizing the Agrani River's Climate-Risk sub-watersheds. The methodology was created by combining the Fuzzy-AHP method, basin climate risk analysis, and a Geographic Information System (GIS). The final score produced from the FuzzyAHP procedure was used to assign ranks to all sub-watersheds. For the Climate Change Mitigation & Management, these sub-watersheds were prioritized into five categories based on Fuzzy-AHP scores:very low, low, medium, high, and very high. The result illustrates the nine sub-watersheds covering approximately 35% of the watershed area prone to climate risk thus given high to very high priority and 15.47 % area has shown moderate climate risk. This study suggests that the fuzzy-AHP model, Climate-Risk Analysis, and GIS technique may be utilized effectively to identify and prioritize critical sub-watersheds for climate change mitigation and management. Keywords: Climate Risk, Fuzzy-Analytical Hierarchy Processes, Mann Kendall Trend Test, Prioritization
Publication date: 15/01/2022

https://ijbpas.com/pdf/2022/January/MS_IJBPAS_2022_JAN_SPCL_1084.pdf

Download PDF
https://doi.org/10.31032/IJBPAS/2022/11.1.1084